The invention discloses a green plum fruit picking
robot based on multi-
source data fusion and a picking method thereof, and relates to the technical field of agricultural
intelligent equipment. The
robot comprises a crawler-type self-adaptive
chassis, a multi-degree-of-freedom mechanical arm, a multi-source sensing module, a bionic flexible end
effector, an
intelligent control unit and a fruit collecting box, and all the parts are electrically connected with the
intelligent control unit. The multi-source sensing module synchronously collects vision, spectrum, touch,
acoustics and environment data, and accurate recognition and positioning of mature fruits are achieved through hierarchical weighted attention fusion
algorithm processing. And fruit damage is reduced in combination with a path planning
algorithm introducing a flexible
obstacle avoidance coefficient and a flexible picking execution mechanism. The self-adaptive
chassis can adapt to complex terrains, and parameters are dynamically optimized through
reinforcement learning in the picking process. The green plum picking
machine solves the problems that traditional picking is low in efficiency and high in damage rate, and existing equipment is poor in adaptability, and the intelligent level and operation quality of green plum picking are improved.